{"id":"W4408478941","doi":"10.1093/etojnl/vgaf071","title":"Mercury concentrations in lake sturgeon from four river systems in Manitoba, Canada","year":2025,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Beekeepers' Association","funders":"","keywords":"Lake sturgeon; Fish measurement; Sturgeon; Mercury (programming language); Fishery; Bioaccumulation; Environmental science; Acipenser; Coregonus clupeaformis; Biology; Hydrology (agriculture); Ecology; Fish <Actinopterygii>; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000207984,0.0005011112,0.0003033124,0.001972315,0.001825507,0.0008020408,0.0004505756,0.0002757275,0.0006929897],"category_scores_gemma":[0.0003400795,0.0002802529,0.000255147,0.00260269,0.0005455106,0.0002273852,0.0006052363,0.0001925625,0.000137509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008113983,"about_ca_system_score_gemma":0.004318055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9216592,"about_ca_topic_score_gemma":0.9831959,"domain_scores_codex":[0.9998326,0.000009761894,0.00001524727,0.0000400861,0.00006511745,0.00003712439],"domain_scores_gemma":[0.9996223,0.00001710909,0.00005847539,0.00000768074,0.0002336846,0.00006061581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000586584,0.0000155499,0.989346,0.00003289547,0.00005038705,0.0001509444,0.001909817,0.000100652,0.004419707,0.0000230764,0.0001837192,0.003708665],"study_design_scores_gemma":[0.00000283336,0.00001983639,0.9978555,0.00000784591,0.00002042356,0.00004178753,0.001161544,0.00009453461,0.0003038668,0.000006175128,0.0004812062,0.000004407692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986186,0.0001199853,0.0000509205,0.00002269141,0.000001860343,0.00001291761,0.0005040466,0.000008340741,0.0006606092],"genre_scores_gemma":[0.9967886,0.0002425752,0.0004176772,0.0000640086,0.000002092494,0.00002422736,0.001144944,0.000006143234,0.001309736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07834077,"threshold_uncertainty_score":0.1576042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008898245021779942,"score_gpt":0.2026574658198657,"score_spread":0.1937592207980857,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}